Principal Applied Scientist

Job Description

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.

Develops models, prototypes, and experiments that pave the way for innovative products and services

Responsible AI:
Principal Applied Scientist. We are seeking an exceptional Principal Applied Scientist with deep expertise in Responsible AI to join our fast-growing AI/ML research team. In this role, you will drive the development and evaluation of scalable safeguards for foundation models, with a focus on large language or multi‑modal models (LLMs/ LMMs). Your work will directly influence how we design, deploy, and monitor trustworthy AI systems across a broad range of products.

• Conduct cutting‑edge research and development in Responsible AI, including fairness, robustness, explainability, and safety for generative models
• Design and implement safeguards, red‑team pipelines, and bias mitigation strategies for LLMs and other foundation models
• Contribute to the fine‑tuning and alignment of LLMs using techniques such as prompt engineering, instruction tuning, and RLHF/DPO.
• Define and implement rigorous evaluation protocols (e.g., bias audits, toxicity analysis, robustness benchmarks)
• Collaborate cross‑functionally with product, policy, legal, and engineering teams to ensure Responsible AI principles are embedded throughout the model lifecycle
• Publish in top‑tier venues (e.g., NeurIPS, ICML, ICLR, ACL, CVPR) and represent the company in academic and industry forums

• Ph.D. in Computer Science, Machine Learning, NLP, or a related field, with publications in top‑tier AI/ML conferences or journals
• Hands‑on experience with LLMs including fine‑tuning, evaluation, and prompt engineering
• Demonstrated expertise in building or evaluating Responsible AI systems (e.g., fairness, safety, interpretability)
• Proficiency in Python and ML/DL frameworks such as PyTorch or Tensor Flow
• Strong understanding of model evaluation techniques and metrics related to bias, robustness, and toxicity
• Creative problem‑solving skills with a rapid prototyping mindset and a collaborative attitude

• Experience with RLHF (Reinforcement Learning from Human Feedback) or other alignment methods
• Open‑source contributions in the AI/ML community
• Experience working with model guardrails, safety filters, or content moderation systems

You’ll be working at the intersection of AI innovation and Responsible AI, helping shape the next generation of safe and trustworthy machine learning systems. If you’re passionate about ensuring AI benefits everyone—and you have the technical depth to back it up—we want to hear from you.

Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

US:
Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.